Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Wenshuo Wang

Tea: Program Repair Using Neural Network Based on Program Information Attention Matrix


Jul 17, 2021
Wenshuo Wang, Chen Wu, Liang Cheng, Yang Zhang


  Access Paper or Ask Questions

Uncovering Interpretable Internal States of Merging Tasks at Highway On-Ramps for Autonomous Driving Decision-Making


Feb 15, 2021
Huanjie Wang, Wenshuo Wang, Shihua Yuan, Xueyuan Li

* 12 pages, 9 figures 

  Access Paper or Ask Questions

On Social Interactions of Merging Behaviors at Highway On-Ramps in Congested Traffic


Aug 14, 2020
Huanjie Wang, Wenshuo Wang, Shihua Yuan, Xueyuan Li, Lijun Sun

* 11 pages, 7 figures 

  Access Paper or Ask Questions

Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios


Mar 02, 2020
Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Junqiang Xi


  Access Paper or Ask Questions

Measuring Similarity of Interactive Driving Behaviors Using Matrix Profile


Nov 03, 2019
Qin Lin, Wenshuo Wang, Yihuan Zhang, John Dolan


  Access Paper or Ask Questions

Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process


Oct 17, 2019
Jiacheng Zhu, Shenghao Qin, Wenshuo Wang, Ding Zhao

* 7 pages, 5 figures, submitted to ICRA 2020 

  Access Paper or Ask Questions

Recurrent Attentive Neural Process for Sequential Data


Oct 17, 2019
Shenghao Qin, Jiacheng Zhu, Jimmy Qin, Wenshuo Wang, Ding Zhao

* 12 pages, 6 figures, NeurIPS 2019 Workshop 

  Access Paper or Ask Questions

Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression


Oct 08, 2019
Weiyang Zhang, Wenshuo Wang, Ding Zhao


  Access Paper or Ask Questions

Active Learning for Risk-Sensitive Inverse Reinforcement Learning


Sep 23, 2019
Rui Chen, Wenshuo Wang, Zirui Zhao, Ding Zhao

* 8 pages without acknowledgment, 7 figures, submitted to RA-L and ICRA 2020 for the IEEE Robotics and Automation Letters (RA-L) 

  Access Paper or Ask Questions

A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos


Jul 17, 2019
Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Ding Zhao

* 2019 IEEE Intelligent Transportation Systems Conference (ITSC) 

  Access Paper or Ask Questions

Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field


Jun 25, 2019
Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief, Wenshuo Wang, Jiacheng Zhu, Huei Peng, Ding Zhao


  Access Paper or Ask Questions

Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories


Mar 16, 2019
Wenshuo Wang, Aditya Ramesh, Ding Zhao

* 12 pages, 11 figures 

  Access Paper or Ask Questions

A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters


Feb 24, 2019
Wenhao Ding, Wenshuo Wang, Ding Zhao

* 6 pages, accepted by ICRA 2019 

  Access Paper or Ask Questions

Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters


Sep 15, 2018
Wenhao Ding, Wenshuo Wang, Ding Zhao

* 8 pages, 8 figures, submitted to RA-L with ICRA 2019 

  Access Paper or Ask Questions

Understanding V2V Driving Scenarios through Traffic Primitives


Jul 27, 2018
Wenshuo Wang, Weiyang Zhang, Ding Zhao


  Access Paper or Ask Questions

Cluster Naturalistic Driving Encounters Using Deep Unsupervised Learning


Jun 06, 2018
Sisi Li, Wenshuo Wang, Zhaobin Mo, Ding Zhao


  Access Paper or Ask Questions

Extracting Traffic Primitives Directly from Naturalistically Logged Data for Self-Driving Applications


May 26, 2018
Wenshuo Wang, Ding Zhao

* 7 pages, 8 figures, 2 tables, ICRA 2018 

  Access Paper or Ask Questions

An Optimal LiDAR Configuration Approach for Self-Driving Cars


May 20, 2018
Shenyu Mou, Yan Chang, Wenshuo Wang, Ding Zhao

* Conference 

  Access Paper or Ask Questions

A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives


May 13, 2018
Jiacheng Zhu, Wenshuo Wang, Ding Zhao

* 6 pages, 7 figures, 1 table, ITSC 2018 

  Access Paper or Ask Questions

Learning and Inferring a Driver's Braking Action in Car-Following Scenarios


Jan 11, 2018
Wenshuo Wang, Junqiang Xi, Ding Zhao


  Access Paper or Ask Questions

Driving Style Analysis Using Primitive Driving Patterns With Bayesian Nonparametric Approaches


Aug 16, 2017
Wenshuo Wang, Junqiang Xi, Ding Zhao


  Access Paper or Ask Questions

How Much Data is Enough? A Statistical Approach with Case Study on Longitudinal Driving Behavior


Jun 23, 2017
Wenshuo Wang, Chang Liu, Ding Zhao


  Access Paper or Ask Questions

Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach


Mar 28, 2017
Shun Yang, Wenshuo Wang, Chang Liu, Kevin Deng, J. Karl Hedrick

* 6 pages, 11 figures, 3 tables, accepted by 2017 IEEE Intelligent Vehicles Symposium 

  Access Paper or Ask Questions

A Learning-Based Approach for Lane Departure Warning Systems with a Personalized Driver Model


Feb 04, 2017
Wenshuo Wang, Ding Zhao, Junqiang Xi, Wei Han

* 12 pages, 13 figures, Journal 

  Access Paper or Ask Questions

Statistical Pattern Recognition for Driving Styles Based on Bayesian Probability and Kernel Density Estimation


Jun 03, 2016
Wenshuo Wang, Junqiang Xi, Xiaohan Li

* IET Intelligent Transportation Systems, 2018 
* 10 pages, 9 figures. Submitted to International Journal of Automotive Technology 

  Access Paper or Ask Questions

A Rapid Pattern-Recognition Method for Driving Types Using Clustering-Based Support Vector Machines


May 22, 2016
Wenshuo Wang, Junqiang Xi

* 2017 American Control Conference 
* 6 pages, 9 figures, 2 tables. To be appear in 2016 American Control Conference, Boston, MA, USA, 2016 

  Access Paper or Ask Questions